RESULTS: Spectroscopic measurements and physicochemical analyses [total soluble solids (TSS), titratable acidity, colour, texture] of \'Victory\' strawberries were carried out. The predictive models developed for titratable acidity, colour and texture were not good enough to quantify those parameters. By contrast, in the NIRS quantitative prediction analysis of TSS, it was observed that the spectral pre-treatment with the highest predictive capacity was the first derivative 1-5-5. The coefficients of determination were: 0.9277 for the calibration model; 0.5755 for the validation model; and 0.8207 for the prediction model, using a seven-factor partial least squares multivariate regression analysis.
CONCLUSIONS: Therefore, these results demonstrate that NIR analysis could be used to predict the TSS in strawberry, and further work on sampling is desirable to improve the prediction obtained in the present study. It is shown that NIRS technology is a suitable tool for determining quality attributes of strawberry in a fast, economic, and environmentally friendly way. © 2022 Society of Chemical Industry.
结果:光谱测量和理化分析[总可溶性固体(TSS),可滴定酸度,颜色,进行了\'胜利\'草莓的质地]。为可滴定酸度开发的预测模型,颜色和质地不足以量化这些参数。相比之下,在NIRS对TSS的定量预测分析中,观察到具有最高预测能力的光谱预处理是一阶导数1-5-5。确定系数为:校准模型为0.9277;验证模型为0.5755;预测模型为0.8207,使用七因素偏最小二乘多元回归分析。
结论:因此,这些结果表明,NIR分析可用于预测草莓中的TSS,并且需要进一步的采样工作来改善本研究中获得的预测。结果表明,NIRS技术是快速确定草莓品质属性的合适工具,经济,和环保的方式。©2022化学工业学会。